Research & Ethnography
What is unspoken
A nested classificatory hierarchy
Unfinished
Record them all
Recommendations for field notes
In Defense of Browsing
The illustrated guide to a Ph.D.
When users never use the features they asked for
An Article by Austin Z. HenleyWe deployed our tool. Almost no one used it.
The handful that did use it, used it once or twice and barely interacted with it. After a few days, zero people were using it.
Why did they tell me they wanted these features?
Why Most Published Research Findings Are False
A Research Paper by John P.A. IoannidisThere is increasing concern that most current published research findings are false. The probability that a research claim is true may depend on study power and bias, the number of other studies on the same question, and, importantly, the ratio of true to no relationships among the relationships probed in each scientific field. In this framework, a research finding is less likely to be true when the studies conducted in a field are smaller; when effect sizes are smaller; when there is a greater number and lesser preselection of tested relationships; where there is greater flexibility in designs, definitions, outcomes, and analytical modes; when there is greater financial and other interest and prejudice; and when more teams are involved in a scientific field in chase of statistical significance.
How can we develop transformative tools for thought?
A Research Paper by Andy Matuschak & Michael NielsenConventional tech industry product practice will not produce deep enough subject matter insights to create transformative tools for thought.
...The aspiration is for any team serious about making transformative tools for thought. It’s to create a culture that combines the best parts of modern product practice with the best parts of the (very different) modern research culture. You need the insight-through-making loop to operate, whereby deep, original insights about the subject feed back to change and improve the system, and changes to the system result in deep, original insights about the subject.
A hypothesis is a liability
A Research Paper by Itai Yanai & Martin LercherThere is a hidden cost to having a hypothesis. It arises from the relationship between night science and day science, the two very distinct modes of activity in which scientific ideas are generated and tested, respectively [1, 2]. With a hypothesis in hand, the impressive strengths of day science are unleashed, guiding us in designing tests, estimating parameters, and throwing out the hypothesis if it fails the tests. But when we analyze the results of an experiment, our mental focus on a specific hypothesis can prevent us from exploring other aspects of the data, effectively blinding us to new ideas.
Keep digging
An Article by Ryan SingerThe hardest thing about customer interviews is knowing where to dig. An effective interview is more like a friendly interrogation. We don’t want to learn what customers think about the product, or what they like or dislike — we want to know what happened and how they chose... To get those answers we can’t just ask surface questions, we have to keep digging back behind the answers to find out what really happened.
Fast Path to a Great UX – Increased Exposure Hours
An Article by Jared SpoolAs we’ve been researching what design teams need to do to create great user experiences, we’ve stumbled across an interesting finding. It’s the closest thing we’ve found to a silver bullet when it comes to reliably improving the designs teams produce.
The solution? Exposure hours. The number of hours each team member is exposed directly to real users interacting with the team’s designs or the team’s competitor’s designs. There is a direct correlation between this exposure and the improvements we see in the designs that team produces.
Weighing up UX
An Article by Jeremy KeithMetrics come up when we’re talking about A/B testing, growth design, and all of the practices that help designers get their seat at the table (to use the well-worn cliché). But while metrics are very useful for measuring design’s benefit to the business, they’re not really cut out for measuring user experience.
Monkeys testing random designs
A Tweet by Jared SpoolA/B testing is an effective approach to use science to design and deliver deeply-frustrating user experiences.
A/B testing without upfront research is just random monkeys testing random designs to see which of those designs do “best” against random criteria.
If drug testing was actually implemented like most A/B tests, you’d give 2 drugs to 2 groups of people and pick the “winner” by whichever group had fewer deaths.
You and Your Research
A Speech by Richard HammingThis talk centered on Hamming's observations and research on the question "Why do so few scientists make significant contributions and so many are forgotten in the long run?"
Against an Increasingly User-Hostile Web
We are quietly replacing an open web that connects and empowers with one that restricts and commoditizes people. We need to stop it.
A fly in the spider's web
We're very good at talking about immersive experiences, personalized content, growth hacking, responsive strategy, user centered design, social media activation, retargeting, CMS and user experience. But behind all this jargon lurks the uncomfortable idea that we might be accomplices in the destruction of a platform that was meant to empower and bring people together; the possibility that we are instead building a machine that surveils, subverts, manipulates, overwhelms and exploits people.
It all comes down a simple but very dangerous shift: the major websites of today's web are not built for the visitor, but as means of using her. Our visitor has become a data point, a customer profile, a potential lead — a proverbial fly in the spider's web. In the guise of user-centered design, we're building an increasingly user-hostile web.
If you run a website
If you run a website and you put official share buttons on your website, use intrusive analytics platforms, serve ads through a third-party ad network or use pervasive cookies to share and sell data on your users, you're contributing to a user-hostile web. You're using free and open-source tools created by thousands of collaborators around the world, over an open web and in the spirit of sharing, to subvert users.
I chose out
What I'm against is the centralization of services; Facebook and Google are virtually everywhere today. Through share buttons, free services, mobile applications, login gateways and analytics, they are able to be present on virtually every website you visit. This gives them immense power and control. They get to unilaterally make decisions that affect our collective behavior, our expectations and our well-being. You're either with them or out. Well, I chose out.
You see, the web wasn't meant to be a gated community.
What do we want the web to be?
Do we want the web to be open, accessible, empowering and collaborative? Free, in the spirit of CERN’s decision in 1993 or the open source tools it's built on? Or do we want it to be just another means of endless consumption, where people become eyeballs, targets and profiles? Where companies use your data to control your behaviour and which enables a surveillance society—what do we want?